Regard is an AI-driven platform that analyzes electronic health record (EHR) data to suggest diagnoses and generate care plans, enabling clinicians to access critical insights from a patient's medical history. By transforming vast amounts of patient data into actionable information, Regard enhances patient safety, improves documentation accuracy, and supports revenue protection for healthcare providers.
Funding
$61M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
OHFounders
Product
Problem
Clinicians often struggle to efficiently extract key insights from the growing volume of patient data stored in electronic health records (EHRs). The sheer amount of unstructured and structured data makes it difficult to identify relevant diagnoses, contextual information, and medication details, potentially impacting patient safety and revenue capture. Physicians typically review a small fraction of available data, leaving a significant portion of patient history unseen and underutilized.
Solution
Regard is a clinical insights platform that analyzes comprehensive patient data from EHRs to provide clinicians with actionable insights. The platform transforms vast amounts of patient information into easily digestible and relevant data points, suggesting diagnoses and generating care plans. By surfacing hidden insights, Regard helps clinicians avoid missing critical conditions, understand patient context, and manage medications more effectively. This leads to improved patient safety, more accurate documentation, and better revenue protection for healthcare providers.
Target Audience
The primary target audience includes hospitals, healthcare systems, and clinicians seeking to improve patient safety, enhance documentation accuracy, and optimize revenue capture through better utilization of EHR data.
Features
- AI-powered analysis of EHR data to identify potential diagnoses and generate care plans
- Extraction of salient information from patient history, including unstructured notes and structured data fields
- Identification of undiagnosed conditions, relevant contextual information, and medication details
- Automated scanning of years of patient data in seconds to surface critical insights
- Fully auditable supporting documentation for diagnoses to ensure compliance